Data & Analytics · Python · davila7/claude-code-templates

Analyzes Neuropixels recordings from SpikeGLX or Open Ephys through preprocessing, drift correction, Kilosort4 spike sorting, quality metrics and curation.

davila7/claude-code-templates

Guides use of deepTools on sequencing data: BAM to bigWig conversion, QC, sample correlation, and heatmaps or profiles around TSS and peaks for ChIP-seq, RNA-seq and ATAC-seq.

davila7/claude-code-templates

Guides time series machine learning with the aeon toolkit: classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search.

davila7/claude-code-templates

Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.

davila7/claude-code-templates

Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools.

davila7/claude-code-templates

Processes tabular datasets too large for RAM with Vaex: lazy DataFrames, fast aggregations, big-data plots and ML pipelines over CSV, HDF5, Arrow and Parquet.

davila7/claude-code-templates

Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use.

davila7/claude-code-templates

Runs differential gene expression analysis on bulk RNA-seq counts with PyDESeq2: design formulas, Wald tests, FDR correction and volcano or MA plots.

davila7/claude-code-templates

Queries the openFDA API from Python for drug, device, food and veterinary data: adverse events, recalls, labels, approvals, NDC and UNII lookups.

davila7/claude-code-templates

Works with genomic intervals using gtars, a Rust toolkit with Python bindings: overlap detection, coverage tracks, tokenization for ML models and reference sequences.

davila7/claude-code-templates

Processes digital pathology whole slide images with histolab: tissue detection, mask creation, tile extraction and dataset preparation for deep learning.

davila7/claude-code-templates

Processes physiological signals with NeuroKit2 in Python: ECG, PPG, EEG, EDA, respiration, EMG and EOG, including HRV, events and complexity measures.

davila7/claude-code-templates

Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation.

davila7/claude-code-templates

Python interface to OpenMS for mass spectrometry data analysis.

davila7/claude-code-templates

Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.

davila7/claude-code-templates

Explains machine learning predictions with SHAP: picking the right explainer, computing Shapley values and drawing waterfall, beeswarm, bar and force plots.

davila7/claude-code-templates

Interactive scientific and statistical data visualization library for Python.

davila7/claude-code-templates

Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps.

davila7/claude-code-templates

Microscopy data management platform. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Run Python code in the cloud with serverless containers, GPUs, and autoscaling.

davila7/claude-code-templates

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure.

davila7/claude-code-templates